Triple

T10648376
Position Surface form Disambiguated ID Type / Status
Subject Darbhanga Junction E250895 entity
Predicate stationCode P1289 FINISHED
Object DBG
DBG is the Indian Railways station code for Darbhanga Junction, a major railway station in the city of Darbhanga in Bihar, India.
 E877168 NE FINISHED

How this triple was built (4 steps)

Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.

NER Named-entity recognition gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: DBG | Statement: [Darbhanga Junction, stationCode, DBG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: DBG
Context triple: [Darbhanga Junction, stationCode, DBG]
  • A. GDB
    GDB is a powerful open-source debugger from the GNU Project used to analyze and control the execution of programs written in languages like C, C++, and Fortran.
  • B. DG
    DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
  • C. DG
    DG is the stock ticker symbol for Data General, a former American minicomputer manufacturer prominent in the 1970s and 1980s.
  • D. DEV
    DEV is the abbreviation for the OECD Development Centre, a policy-oriented institution that conducts research and dialogue to support sustainable economic and social development worldwide.
  • E. DEB
    DEB is the abbreviation for the Deutscher Eishockey-Bund, the governing body for ice hockey in Germany.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: DBG
Triple: [Darbhanga Junction, stationCode, DBG]
Generated description
DBG is the Indian Railways station code for Darbhanga Junction, a major railway station in the city of Darbhanga in Bihar, India.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: DBG
Target entity description: DBG is the Indian Railways station code for Darbhanga Junction, a major railway station in the city of Darbhanga in Bihar, India.
  • A. GDB
    GDB is a powerful open-source debugger from the GNU Project used to analyze and control the execution of programs written in languages like C, C++, and Fortran.
  • B. DG
    DG is the abbreviation for the German-speaking Community, the small German-language region and federal community in eastern Belgium.
  • C. DG
    DG is the stock ticker symbol for Data General, a former American minicomputer manufacturer prominent in the 1970s and 1980s.
  • D. DEV
    DEV is the abbreviation for the OECD Development Centre, a policy-oriented institution that conducts research and dialogue to support sustainable economic and social development worldwide.
  • E. DEB
    DEB is the abbreviation for the Deutscher Eishockey-Bund, the governing body for ice hockey in Germany.
  • F. None of above. chosen

Provenance (5 batches)

The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.

Step Stage Batch ID Status When
creating Elicitation batch_69d6aa5a4c4881908f39be6efe5981e5 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6dfe29b8081908eb13637e0475ba1 completed April 8, 2026, 11:08 p.m.
NED1 Entity disambiguation (via context triple) batch_69d97a60fdd881908987f920a19bb41e completed April 10, 2026, 10:32 p.m.
NEDg Description generation batch_69d97cc20448819094d650b9c1067dca completed April 10, 2026, 10:42 p.m.
NED2 Entity disambiguation (via description) batch_69d97e13913081908dd1fb60fa44db05 completed April 10, 2026, 10:47 p.m.
Created at: April 8, 2026, 9:06 p.m.